Breast tumour is one of the leading causes of death among women worldwide. Researchers
are working hard to develop early and improved detection tools for breast tumour. Several …

According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …

Breast cancer is the second dangerous cancer in the world. Breast cancer data often
contains more redundant information. Redundant information makes the breast cancer …

Worldwide approximately 1 in 6 women will succumb to Breast Cancer (BC), making it one
of the most lethal illnesses in the female population. To avoid and receive adequate clinical …

Breast cancer is very common type of cancer now a day. It is observed in many of the
women and responsible for many deaths in recent days. In this work the power of machine …

During late ten years breast cancer is a major issue for women's death recently and also
increased the quantity of breast cancer. There is more proof that ladies in 15–54 years of …

Lots of women are suffering from Breast Cancer all over the world. Various data set about
breast cancer is available online. Machine Learning algorithms are very useful in predicting …

Diagnosis BC is a tremendous challenge in the medical domain. In ongoing exploration, the
classification of imbalanced dataset certainly stands out enough to be noticed. Imbalanced …

Breast cancer, the most prevalent cancer among women, significantly contributes to
increased mortality rates and ranks as the second leading cause of cancer-related deaths in …

Breast cancer remains a significant global health concern, impacting millions of women.
Early and accurate diagnosis is crucial for improving treatment outcomes and reducing …